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Extraction of affine invariant features for shape recognition based on ant colony optimization

Journal of Systems Engineering and Electronics 2011年第6期22卷 1003-1009页

作者： Yuxing Mao Ching Y. Suen Wei He State Key Laboratory of Power Transmission Equipment ＆ System Security and New Technology Chongqing University Chongqing 400044 E R. China Centre for Pattern recognition and Machine Intelligence Concordia University Montreal QC H3G 1M8 Canada

A new approach to extraction of affine invariant features of contour image and matching strategy is proposed for shape ***,the centroid distance and azimuth angle of each boundary point are ***,with a prior-defined angle interval,all the points in the neighbor region of the sample point are considered to calculate the average distance for eliminating *** that,the centroid distance ratios（CDRs） of any two opposite contour points to the barycenter are achieved as the representation of the shape,which will be invariant to affine *** the angles of contour points will change non-linearly among affine related images,the CDRs should be resampled and combined sequentially to build one-by-one matching pairs of the corresponding *** core issue is how to determine the angle positions for sampling,which can be regarded as an optimization problem of path *** ant colony optimization（ACO）-based path planning model with some constraints is presented to address this ***,the Euclidean distance is adopted to evaluate the similarity of shape features in different *** experimental results demonstrate the efficiency of the proposed method in shape recognition with translation,scaling,rotation and distortion.

关键词： shape recognition affine transformation centroid distance ratio(CDR) ant colony optimization(ACO) path planning.

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Improvement of shape recognition Performance of Sendzimir Mill Control Systems Using Echo State Neural Networks

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Journal of Iron and Steel Research International 2014年第3期21卷 321-327页

作者： Jung-hyun PARK Seong-ik HAN Jong-shik KIM School of Mechanical Engineering Pusan National University School of Electrical Engineering Pusan National University

High rigidity twenty-high Sendzimir mills （ZRMs） are widely used for rolling stainless steels, silicon sheets, etc. A ZRM uses a small diameter work roll to produce massive rolling forces. Since a work roll with a small diameter can be bent easily, strips often have complex shapes with mixed quarter and deep edge waves in the shape of plates. In order to solve this problem, fuzzy neural network controls are generally used for shape： recognition in ZRM control systems. Among various neural network types, the multi-layer perceptron （MLP） is typically used in current ZRMs. However, an MLP causes the loss of a large amount of shape recognition data. To improve the shape recognition per- formance of ZRM control systems, echo state networks （ESNs） are proposed to be used. Through simulation re- sults, it is found that shape recognition performance could be improved using the proposed ESN method.

关键词： Sendzimir mill neural network multi-layer perceptron echo state network shape recognition

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Application of Integrated Database to the Casting Design

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Journal of Materials Science & Technology 2008年第3期24卷 351-355页

作者： In-Sung Cho Seung-Mok Yoo Chae-Ho Lim Jeong-Kil Choi KITECH 7-47 Songdo-dongYeonsu-gu

Construction of integrated database including casting shapes with their casting design, technical knowledge, and thermophysical properties of the casting alloys were introduced in the present study. recognition tech- nique for casting design by industrial computer tomography was used for the construction of shape database. Technical knowledge of the casting processes such as ferrous and non-ferrous alloys and their manufacturing process of the castings were accumulated and the search engine for the knowledge was developed. Database of thermophysical properties of the casting alloys were obtained via the experimental study, and the properties were used for the in-house computer simulation of casting process. The databases were linked with intelligent casting expert system developed in center for e-design, KITECH. It is expected that the databases can help non casting experts to devise the casting and its process. Various examples of the application by using the databases were shown in the present study.

关键词： Integrated database Casting design shape recognition

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MVContrast:Unsupervised Pretraining for Multi-view 3D Object recognition

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Machine Intelligence Research 2023年第6期20卷 872-883页

作者： Luequan Wang Hongbin Xu Wenxiong Kang School of Automation Science and Engineering South China University of TechnologyGuangzhou510641China

3D shape recognition has drawn much attention in recent *** view-based approach performs best of ***,the current multi-view methods are almost all fully supervised,and the pretraining models are almost all based on *** the pretraining results of ImageNet are quite impressive,there is still a significant discrepancy between multi-view datasets and ***-view datasets naturally retain rich 3D *** addition,large-scale datasets such as ImageNet require considerable cleaning and annotation work,so it is difficult to regenerate a second *** contrast,unsupervised learning methods can learn general feature representations without any extra *** this end,we propose a three-stage unsupervised joint pretraining ***,we decouple the final representations into three fine-grained *** augmentation is utilized to obtain pixel-level representations within each *** we boost the spatial invariant features from the view ***,we exploit global information at the shape level through a novel extract-and-swap *** results demonstrate that the proposed method gains significantly in 3D object classification and retrieval tasks,and shows generalization to cross-dataset tasks.

关键词： Multi view unsupervised pretraining contrastive learning 3D vision shape recognition

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recognition Ability of Three-Dimensional shapes from Drawings——First Report:Analysis of Percentage of Correctness and Answering Time

Recognition Ability of Three-Dimensional Shapes from Drawing...

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7th China-Japan Joint Conference on Graphics Education

作者： Kazuaki KAWAKITA Tomoaki FUJI Masatoshi NIIZEKI Yuya KAGEBAYASHI Kenji IHARA Osaka Electro-Communication University Osaka Japan Kyushu University Graduate School of Design Fukuoka Japan Osaka Electro-Communication University Osaka Japan Osaka Electro-Communication University Osaka Japan Osaka Electro-Communication University Osaka Japan

recognition ability for three dimensional space and solid shapes is a very interesting subject. Concerning this ability, many studies by using the mental rotation and mental cutting tests have been re

关键词： geometry shape recognition computer graphics drawing

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